Massive multiple-input–multiple-output (MIMO) is a fifth-generation wireless technology that equips the cellular base stations (BSs) with a very large number of antenna and is a communication technique of serving several users. Aiming at the problem of the high computational complexity of linear channel estimation and linear decoding in massive MIMO systems, this study proposes two low-complexity decoding algorithms according to the characteristics of the system. The fast decoding algorithm is designed by using the asymptotic orthogonality of the channel in the system to avoid solving the inverse of the channel matrix. In combination with increasing the number of base BS antennas to optimise user channel characteristics, a simple operator decoding algorithm is designed to realise direct decoding without estimating the channel. Simulation results show that the proposed algorithms can effectively reduce the computational complexity while ensuring system performance.

中文翻译：

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无需矩阵求逆的直接解码，可在第五代大规模MIMO系统中进行有效的信道估计

大规模多输入多输出（MIMO）是第五代无线技术，为蜂窝基站（BS）配备了大量天线，并且是为多个用户提供服务的通信技术。针对大规模MIMO系统中线性信道估计和线性解码的计算复杂度高的问题，根据系统的特点，提出了两种低复杂度的解码算法。通过使用系统中通道的渐近正交性来设计快速解码算法，以避免求解通道矩阵的逆。结合增加基本BS天线的数量以优化用户信道特性，设计了一种简单的运算符解码算法，无需估计信道即可实现直接解码。